Research Article
Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master-Slave Architecture
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 48 - Issue 3 |
| Published: June 2012 |
| Authors: J.V.S. Srinivas, G. Sandhya Prafulla, P. Premchand |
10.5120/7332-9924
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J.V.S. Srinivas, G. Sandhya Prafulla, P. Premchand . Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master-Slave Architecture. International Journal of Computer Applications. 48, 3 (June 2012), 45-49. DOI=10.5120/7332-9924
@article{ 10.5120/7332-9924,
author = { J.V.S. Srinivas,G. Sandhya Prafulla,P. Premchand },
title = { Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master-Slave Architecture },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 48 },
number = { 3 },
pages = { 45-49 },
doi = { 10.5120/7332-9924 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A J.V.S. Srinivas
%A G. Sandhya Prafulla
%A P. Premchand
%T Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master-Slave Architecture%T
%J International Journal of Computer Applications
%V 48
%N 3
%P 45-49
%R 10.5120/7332-9924
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Objective of the work is speaker independent recognition of vowels of British English. Back propagation is one of the simplest and most widely used methods for supervised training of multi layer neural networks. In this paper we use parallel implementation of Backpropagation (BP) on Master – Slave architecture to recognize speaker independent eleven steady state vowels of British English. We perform the recognition task on both sequential and parallel implementation. The performance parameters speed-up, optimal number of processors and processing time are evaluated for both implementations.
References
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